Chuck Cecil
E96016
Chuck Cecil is a former American football safety best known for his hard-hitting play in the NFL and his standout collegiate career at the University of Arizona.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Chuck Cecil canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T183413 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Cecil Context triple: [Arizona Wildcats football team, notableAlumnus, Chuck Cecil]
-
A.
Don Maynard
Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
-
B.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
C.
Ralph Coleman
Ralph Coleman was a prominent Oregon State University baseball coach whose legacy in the sport led to the university’s baseball stadium being named in his honor.
-
D.
David Gamble
David Gamble is a film editor best known for his work on the Academy Award–winning romantic comedy-drama "Shakespeare in Love."
-
E.
Kees Cook
Kees Cook is a prominent open-source and Linux kernel security developer known for his extensive work on hardening the Linux kernel and improving software security practices.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chuck Cecil Target entity description: Chuck Cecil is a former American football safety best known for his hard-hitting play in the NFL and his standout collegiate career at the University of Arizona.
-
A.
Don Maynard
Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
-
B.
Brian Bilello
Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
-
C.
Ralph Coleman
Ralph Coleman was a prominent Oregon State University baseball coach whose legacy in the sport led to the university’s baseball stadium being named in his honor.
-
D.
David Gamble
David Gamble is a film editor best known for his work on the Academy Award–winning romantic comedy-drama "Shakespeare in Love."
-
E.
Kees Cook
Kees Cook is a prominent open-source and Linux kernel security developer known for his extensive work on hardening the Linux kernel and improving software security practices.
- F. None of above. chosen
Statements (29)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Chuck Cecil Description of subject: Chuck Cecil is a former American football safety best known for his hard-hitting play in the NFL and his standout collegiate career at the University of Arizona.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.